Siberian Federal University

Issue

Journal of Siberian Federal University. Engineering & Technologies. 2018 11 (3)

Authors

Semchenkov, Sergey M.; Pechenev, Evgeni A.; Abramenkov, Alexey V.

Contact information

Semchenkov, Sergey M.: Military Academy of the Army Air Defense the Armed Forces of the Russian Federation a name of Marshal of Soviet Union A. M. Vasilevsky 2 Kotovskogo Str., Smolensk, 214027, Russia; ; Pechenev, Evgeni A.: Military Academy of the Army Air Defense the Armed Forces of the Russian Federation a name of Marshal of Soviet Union A. M. Vasilevsky 2 Kotovskogo Str., Smolensk, 214027, Russia; ; Abramenkov, Alexey V.: Military Academy of the Army Air Defense the Armed Forces of the Russian Federation a name of Marshal of Soviet Union A. M. Vasilevsky 2 Kotovskogo Str., Smolensk, 214027, Russia

Keywords

digital signal processing; superresolution; inverse filtering

Abstract

The article is devoted to the substantiation of the approach to increasing the radar’s resolving power in range by inverse filtering (IF). Since it is known that without signal selection from background noise, the IF it is not effective for resolution, it is proposed to apply it with regularization. As a threshold limitation of relevant signal spectrum is chosen the parameter of regularization. The regularization is achieved by gain of quasiinverse filter solving in relevant of chosen parameter value. Such filter reduces the resolution objectives in compression with inverse filter, but allows to increase of correct resolution probability (CRP). The estimates of CRP in depend on SNR, with obtained by inverse filtration with regularization (IFR). It is shown, that using of IFR allows increase of radar resolution capabilities with the simple radio pulse is four times when SNR from 18–25 dB

Pages

301-312

Paper at repository of SibFU

https://elib.sfu-kras.ru/handle/2311/71322

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).